Название: Algorithms, Humans, and Interactions: How Do Algorithms Interact with People? Designing Meaningful AI ExperiencesАвтор: Don Donghee Shin
Издательство: Routledge
Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Год: 2023
Страниц: 217
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
Algorithms are pervasive in our society, and we live and work with them and Artificial Intelligence (AI) – knowingly and unknowingly. A huge amount of data regarding our daily routines is monitored and analyzed by AI to make recommendations that manage, control, and frame our behaviors in everyday life. Algorithms have become the key organizers through which power is enacted and institutionalized in society. Whether or not algorithms promote the transformation of the economy in the direction of sustainability is defned by the way these algorithms are designed, implemented, and adopted. How algorithms are coded and trained and how we can understand their decisions are important issues in this AI era.
This book presents current theories, techniques, methods, and various sociotechnical issues related to human–AI interaction. Tis book is a guide to understanding the dynamics of AI in human contexts by addressing some important questions: How do we ensure AI is used for our common good? How do humans and AI interact? How is AI shaping our understanding of ourselves and our societies? How do we bridge the gap between ethical considerations and practical realities to create responsible, reliable systems? Trough these questions, this book proposes a way to empower humans by enabling them to make choices about AI design, which allows them control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans (e.g., users, designers, developers, providers, and lawmakers).
Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight into how humans can be empowered by making choices about AI designs that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans. This book helps us understand the possibilities of what AI systems can do and how they can and should be integrated into our society.
"Don Shin has written a must-read primer for anyone considering human-AI interaction. Read this book - and learn from one of the best." -- Kerk Kee, Professor, Texas Tech University, USA
Table of Contents:
1. Algorithmic Experience 2. Algorithmic Awareness 3. Algorithmic Nudge 4. Algorithmic Credibility 5. Algorithmic Bias 6. Explainable Algorithms 7. Algorithmic Journalism 8. Human-Centered AI
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